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Artificial Intelligence And Machine Learning Jobs in Rhode Island

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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Artificial Intelligence And Machine Learning information

See Rhode Island salary details

$13

$25

$47

How much do artificial intelligence and machine learning jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for artificial intelligence and machine learning in Rhode Island is $25.80, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $27.31 per hour, depending on experience, location, and employer.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.
What are popular job titles related to Artificial Intelligence And Machine Learning jobs in Rhode Island? For Artificial Intelligence And Machine Learning jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence And Machine Learning jobs in Rhode Island look for? The top searched job categories for Artificial Intelligence And Machine Learning jobs in Rhode Island are:
What cities in Rhode Island are hiring for Artificial Intelligence And Machine Learning jobs? Cities in Rhode Island with the most Artificial Intelligence And Machine Learning job openings:
Infographic showing various Artificial Intelligence And Machine Learning job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $53,670 per year, or $25.8 per hour.

Director Artificial Intelligence and Machine Learning (59360)

AAA Northeast

Providence, RI • On-site, Remote

$6.0K/mo

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


AAA Northeast rating

8.0

Company rating: 8.0 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

163rd of 301 rated insurance


Job description


What You Will Do:

  • Develop and communicate the enterprise AI vision, establishing a multi-year technical strategy that advances innovation, scalability, and competitive differentiation.
  • Build, mentor, and lead high-performing cross-functional AI/Machine Learning teams, fostering technical excellence, collaboration, and a culture of continuous learning.
  • Own the AI roadmap and investment portfolio, prioritizing initiatives that balance near-term business impact with long-term innovation goals.
  • Drive frontier research in machine learning, deep learning, and generative AI, identifying emerging capabilities and translating them into strategic advantage.
  • Lead rapid prototyping of novel algorithms, model architectures, and experimentation frameworks to accelerate discovery and validate new opportunities.
  • Align AI initiatives with enterprise priorities, partnering with senior stakeholders to define use cases, success metrics, and measurable ROI targets.
  • Translate research breakthroughs into scalable, production-ready solutions by guiding model development, deployment, and operationalization across the organization.
  • Serve as a thought leader for the organization by representing the company in industry conferences, strategic partnerships, and external publications.

What You Will Need

  • Master's Degree Computer Science, AI/ML, or related field required
  • PhD Computer Science, AI/ML, or related field preferred
  • 10+ years AI and Machine Learning  required 
  • 5+ years Leadership roles  required 
  • 3+ years Experience managing teams of data scientists and engineers  required 
  • Certifications in cloud platforms (AWS, Azure, or Google Cloud)  preferred
  • Certifications in AI, machine learning, or data science  preferred

Why AAA Northeast

Career Growth: With ongoing world-class training and proven career paths, you'll have the opportunity to develop expertise and advance your career within AAA Northeast. 
Trusted Legacy: With over 120 years of service excellence, we have a long track record of protecting our members as well as our employees and their families. 
Future-Focused: With new business offerings and increasing digital presence, we are focused on innovating for the future to sustain our success. 

What We Offer

  • Award-Winning: We’ve been named as a Top Employer for the last 7 years 
  • Health Coverage: Medical coverage with employer contributions covering up to 93% of the premium cost, plus dental and vision options. 
  • Retirement: 6% company match on 401(k) retirement plan contribution, with contributions fully vested and made every pay period 
  • Paid Time off: 3 weeks’ vacation, 12 holidays, 8 sick days, 48 hours of volunteer time annually 
  • Additional Perks: Free AAA membership, insurance discounts, travel commission refund, up to $625 in Wellness Incentives, up to $6k in tuition reimbursement, and more! 
  • Compensation: Competitive base pay, annual bonus opportunities, and for certain roles, additional monthly and/or quarterly incentive compensation. The posted salary range represents the full range grade for this role, with individual pay based on job-related skills, experience, shift, and geographic location.

At AAA Northeast, how we work together matters. We are a highly collaborative organization that values connection, transparency, and trust. Our “cameras on” approach during virtual meetings reflects our expectation that team members are present, engaged and actively participating, helping to build strong working relationships and a sense of shared accountability, no matter where we’re located. 
We are also proud of our diverse culture, shaped by the talents, experiences, and perspectives of our employees. AAA Northeast is an equal opportunity employer and is committed to fair and equitable practices in recruiting, hiring, and advancement. We do not discriminate based on race, color, creed or religion, national origin, sex, age, sexual orientation, veteran status, gender identity or expression, disability, genetic information, marital status, pregnancy, or membership in any other protected class. We thrive when our team members bring their whole selves to work.


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